Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 5.4 * weight - 342
This means that on average for every extra kilogram weight a rider loses 5.4 positions in the result.
Roth
12
70 kgParisien
15
64 kgZarate
29
70 kgGilbert
86
73 kgLacombe
95
81 kg
12
70 kgParisien
15
64 kgZarate
29
70 kgGilbert
86
73 kgLacombe
95
81 kg
Weight (KG) →
Result →
81
64
12
95
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | ROTH Ryan | 70 |
| 15 | PARISIEN François | 64 |
| 29 | ZARATE Jesús | 70 |
| 86 | GILBERT Martin | 73 |
| 95 | LACOMBE Keven | 81 |